Sven Meyer zu Eissen

790 citations
8 papers · 176 indexed · h-index 6
Topics
Topic Modeling (4 papers)Authorship Attribution and Profiling (3 papers)Natural Language Processing Techniques (3 papers)
Journals
Journal of the Association for Information SystemsComputers in IndustryEuropean Conference on Artificial Intelligence
Partner nations
Germany

In The Last Decade

Sven Meyer zu Eissen

8 papers receiving 142 citations

Peers

Sven Meyer zu Eissen
Comparison fields: 5 of 40
  • Artificial Intelligence 127
  • Information Systems 48
  • Safety Research 38
  • Computer Vision and Pattern Recognition 16
  • Management Science and Operations Research 15
Replace Tim Gollub with:
Tim Gollub Germany
Parth Gupta Spain
Liliana Chanona-Hernández Mexico
Muazzam Ahmed Siddiqui Saudi Arabia
David Gresty United Kingdom
Xiaokun Zhang China
Yoad Lewenberg Israel
Yannis Stavrakas Greece
Muhammad Ahmad Bashir United States
Mohammadreza Ebrahimi United States
Sven Meyer zu Eissen relative to Tim Gollub Germany Tim Gollub's profile →
Citations per field
00.5×2.7×
Tim Gollub · 1×
Citations per year

Countries citing papers authored by Sven Meyer zu Eissen

Since Specialization
Citations

This map shows the geographic impact of Sven Meyer zu Eissen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sven Meyer zu Eissen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Meyer zu Eissen more than expected).

Fields of papers citing papers by Sven Meyer zu Eissen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sven Meyer zu Eissen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sven Meyer zu Eissen. The network helps show where Sven Meyer zu Eissen may publish in the future.

Co-authorship network of co-authors of Sven Meyer zu Eissen

This figure shows the co-authorship network connecting the top 25 collaborators of Sven Meyer zu Eissen. A scholar is included among the top collaborators of Sven Meyer zu Eissen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sven Meyer zu Eissen. Sven Meyer zu Eissen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1
Retrieval Models for Genre Classification
25
2 11
3
Intrinsic Plagiarism Analysis with Meta Learning.
15
4 66
5 2
6 1
7 18
8
Genre Classification of Web Pages: User Study and Feasibility Analysis
38

About Sven Meyer zu Eissen

Sven Meyer zu Eissen is a scholar working on Software, Artificial Intelligence and Communication, having authored 8 papers that have together received 176 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Authorship Attribution and Profiling (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Safety Research (38 citations), Artificial Intelligence (127 citations) and Information Systems (48 citations). Sven Meyer zu Eissen has collaborated with scholars based in Germany. Frequent co-authors include Benno Stein, Martin Potthast and Nedim Lipka. Their work appears in journals such as Journal of the Association for Information Systems, Computers in Industry and European Conference on Artificial Intelligence.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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